CSCI 5702/7702 - Data Mining

 

 

Fall 2015 - CSCI 5702/7702 - Class #37654/37691

 

Description:

Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such (big) data is often stored in data stores such as file systems, databases, data warehouses, and data marts, to be “mined”, i.e., to derive the knowledge that enables discovery and improves decision making. The discipline of “data mining” is a rapidly growing field that has evolved from the disciplines of databases, statistics, and machine learning, and is concerned with developing knowledge discovery techniques to assist in extracting useful information from data. Numerous successful applications of data mining have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments.

As an introductory course on data mining, this course introduces the concepts, algorithms, techniques, and systems of data warehousing and data mining. The course will serve both MS and PhD computer science students interested in the field. Also, this course may attract students from other disciplines who need to understand, develop, and data mining tools to analyze data.

 

Time and Location:

Tue-Thu 12:30pm-1:45pm, NC 3207

 

Professor:

Name: Farnoush Banaei-Kashani
Email: farnoush.banaei-kashani(at)ucdenver(dot)edu
Office: Lawrence Street Center (LSC) - Room #810
Office Hours: Tue-Thu 10:30am-12:00pm & Thu 2:00pm-3:30pm (by prior appointment only)

 

Teaching Assistant:

Name: Shahab Helmi
Email: shahab.helmi(at)ucdenver(dot)edu
Office: Lawrence Street Center (LSC) - Room #824
Office Hours: Tue 2:30pm-3:30pm & Fri 3:30pm-5:00pm (by prior appointment only)

 

Textbook:

Title: Data Mining Concepts and Techniques, 3rd Edition
Authors:Jiawei Han, Micheline Kamber, and Jian Pei
ISBN: 978-0-12-381479-1
Description: ©2011 / Morgan Kaufmann / Hardcover / 744 pages
Publication Date: July 2011

Available at Auraria Campus Bookstore.

 

Course Materials:

Available through Canvas.

 

 

 

 
Last updated: 01/15/15